Remote sensing and cropping practices: a review
For agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase. In this context, we reviewed the literature on remote sensing for mapping cropping practices. The reviewed studies were grouped into three categories...
| Autores principales: | , , , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/2158 http://www.mdpi.com/2072-4292/10/1/99 https://doi.org/10.3390/rs10010099 |
| _version_ | 1855483004883828736 |
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| author | Bégue, Agnes Arvor, Damian Bellon, Beatriz Betbeder, Julie De Abelleyra, Diego Ferraz, Rodrigo Lebourgeois, Valentine Lelong, Camille Simoes, Margareth Veron, Santiago Ramón |
| author_browse | Arvor, Damian Bellon, Beatriz Betbeder, Julie Bégue, Agnes De Abelleyra, Diego Ferraz, Rodrigo Lebourgeois, Valentine Lelong, Camille Simoes, Margareth Veron, Santiago Ramón |
| author_facet | Bégue, Agnes Arvor, Damian Bellon, Beatriz Betbeder, Julie De Abelleyra, Diego Ferraz, Rodrigo Lebourgeois, Valentine Lelong, Camille Simoes, Margareth Veron, Santiago Ramón |
| author_sort | Bégue, Agnes |
| collection | INTA Digital |
| description | For agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase. In this context, we reviewed the literature on remote sensing for mapping cropping practices. The reviewed studies were grouped into three categories of practices: crop succession (crop rotation and fallowing), cropping pattern (single tree crop planting pattern, sequential cropping, and intercropping/agroforestry), and cropping techniques (irrigation, soil tillage, harvest and post-harvest practices, crop varieties, and agro-ecological infrastructures). We observed that the majority of the studies were exploratory investigations, tested on a local scale with a high dependence on ground data, and used only one type of remote sensing sensor. Furthermore, to be correctly implemented, most of the methods relied heavily on local knowledge on the management practices, the environment, and the biological material. These limitations point to future research directions, such as the use of land stratification, multi-sensor data combination, and expert knowledge-driven methods. Finally, the new spatial technologies, and particularly the Sentinel constellation, are expected to improve the monitoring of cropping practices in the challenging context of food security and better management of agro-environmental issues |
| format | Artículo |
| id | INTA2158 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | INTA21582018-04-03T18:10:12Z Remote sensing and cropping practices: a review Bégue, Agnes Arvor, Damian Bellon, Beatriz Betbeder, Julie De Abelleyra, Diego Ferraz, Rodrigo Lebourgeois, Valentine Lelong, Camille Simoes, Margareth Veron, Santiago Ramón Teledetección Sistemas de Cultivo Ordenación de Cultivos Remote Sensing Cropping Systems Cropping Patterns For agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase. In this context, we reviewed the literature on remote sensing for mapping cropping practices. The reviewed studies were grouped into three categories of practices: crop succession (crop rotation and fallowing), cropping pattern (single tree crop planting pattern, sequential cropping, and intercropping/agroforestry), and cropping techniques (irrigation, soil tillage, harvest and post-harvest practices, crop varieties, and agro-ecological infrastructures). We observed that the majority of the studies were exploratory investigations, tested on a local scale with a high dependence on ground data, and used only one type of remote sensing sensor. Furthermore, to be correctly implemented, most of the methods relied heavily on local knowledge on the management practices, the environment, and the biological material. These limitations point to future research directions, such as the use of land stratification, multi-sensor data combination, and expert knowledge-driven methods. Finally, the new spatial technologies, and particularly the Sentinel constellation, are expected to improve the monitoring of cropping practices in the challenging context of food security and better management of agro-environmental issues Inst. de Clima y Agua Fil: Bégue, Agnes. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, Francia Fil: Arvor, Damian. Centre National de la Recherche Scientifique (CNRS); Francia Fil: Bellon, Beatriz. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, Francia Fil: Betbeder, Julie. CIRAD, Université Montpellier, Francia. CIRAD, UPR Forests & Societies; Francia Fil: De Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Ferraz, Rodrigo. EMBRAPA Solos; Brasil Fil: Lebourgeois, Valentine. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, Francia Fil: Lelong, Camille. CIRAD, UMR TETIS; Francia. CIRAD, Université Montpellier, Francia Fil: Simoes, Margareth. EMBRAPA Solos; Brasil. Rio de Janeiro State University; Brasil Fil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina 2018-04-03T17:26:13Z 2018-04-03T17:26:13Z 2018 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/2158 http://www.mdpi.com/2072-4292/10/1/99 2072-4292 https://doi.org/10.3390/rs10010099 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Remote Sensing 10 (1) : 99 (2018) |
| spellingShingle | Teledetección Sistemas de Cultivo Ordenación de Cultivos Remote Sensing Cropping Systems Cropping Patterns Bégue, Agnes Arvor, Damian Bellon, Beatriz Betbeder, Julie De Abelleyra, Diego Ferraz, Rodrigo Lebourgeois, Valentine Lelong, Camille Simoes, Margareth Veron, Santiago Ramón Remote sensing and cropping practices: a review |
| title | Remote sensing and cropping practices: a review |
| title_full | Remote sensing and cropping practices: a review |
| title_fullStr | Remote sensing and cropping practices: a review |
| title_full_unstemmed | Remote sensing and cropping practices: a review |
| title_short | Remote sensing and cropping practices: a review |
| title_sort | remote sensing and cropping practices a review |
| topic | Teledetección Sistemas de Cultivo Ordenación de Cultivos Remote Sensing Cropping Systems Cropping Patterns |
| url | http://hdl.handle.net/20.500.12123/2158 http://www.mdpi.com/2072-4292/10/1/99 https://doi.org/10.3390/rs10010099 |
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